Character.AI13 дней назад
Principal Research Engineer, Post-Training
Полная занятостьRedwood City
Обязанности
- 01Drive the technical vision, execution, and evolution of systems that transform foundation models into intelligent, engaging, and aligned products
- 02Lead initiatives spanning data, algorithms, infrastructure, and evaluation to define how models learn from feedback and improve over time
- 03Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and scalability
- 04Mentor and grow a team of researchers and engineers through technical guidance, design reviews, and career development
- 05Establish best practices for experimentation, model development, and deployment
- 06Lead the development of alignment algorithms, optimization techniques, and training objectives to improve model capabilities and data efficiency
- 07Drive advances in mid- and post-training methodologies including reinforcement learning, preference optimization, supervised fine-tuning, and emerging alignment approaches
- 08Identify and execute high-impact research opportunities that improve model behavior, safety, and user engagement
- 09Develop robust evaluation frameworks and quality signals to measure real-world model performance
- 10Lead the design of efficient training and inference systems for large-scale generative models
- 11Architect scalable data pipelines that transform diverse data sources into high-quality training datasets
- 12Partner with infrastructure teams to optimize distributed training, GPU utilization, and serving efficiency
- 13Drive improvements in experimentation platforms, data quality systems, and model observability
- 14Lead complex, cross-functional initiatives across data, training infrastructure, evaluation, and model serving
- 15Collaborate closely with researchers, engineers, product teams, and infrastructure teams to identify high-leverage opportunities for improving model performance and user experience
Требования
- 01PhD in Computer Science, Machine Learning, AI, or a related field, or equivalent industry experience
- 02Significant experience leading technical projects or teams in machine learning, AI research, or large-scale distributed systems
- 03Experience scaling and mentoring high-performing research and engineering teams
- 04Deep understanding of modern machine learning techniques, including transformers, reinforcement learning, alignment methods, and large language models
- 05Strong track record of delivering impactful research or applied ML systems in production environments
- 06Expertise in designing, building, and maintaining production-quality ML systems and infrastructure
- 07Experience training, serving, debugging, and optimizing large-scale models on GPU-based systems
- 08Experience leading teams working on large language model training, mid-training, or post-training
- 09Experience with product experimentation, online evaluation, and A/B testing frameworks
- 10Strong software engineering skills with the ability to write clean, maintainable, and scalable code
- 11Excellent communication skills and the ability to influence technical direction across teams
Условия
- 01Возможность влиять на развитие компании и технологий
- 02Работа в инновационной компании с миллионами пользователей
- 03Участие в формировании новой парадигмы развлечений и потребительского ИИ
- 04Корпоративная культура, ценящая разнообразие и инклюзивность